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首页> 外文期刊>Applied optics >Fast calculation of high-definition depth-added computer-generated holographic stereogram by spectrum-domain look-up table [Invited]
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Fast calculation of high-definition depth-added computer-generated holographic stereogram by spectrum-domain look-up table [Invited]

机译:快速计算高清深度添加的计算机生成的全息立体图[邀请]

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摘要

High-definition depth-added computer-generated holographic stereogram (DA-CGHS) is superior in its high quality, easy realization, and auto-shading effect. However, its computing cost is extremely high because numerous scenes together with depth information must be calculated. Here, we proposed a fast calculation scheme of DA-CGHS by the spectrum-domain look-up table (SDLUT) method. In SDLUT, diffraction fields on the hogel plane of selected reference points in the object space are calculated. Subsequently, the fields are Fourier transformed to the spectrum domain. Because the signal energy always concentrates in a small spectrum region, these regions are cropped as the elemental tables. In the computing of the hogels, the field superposition is conducted in the spectrum domain by using the elemental tables. In our demonstration, the table size of SDLUT is only 0.44% that of the look-up table (LUT). Because the table size is very small, the computing time of SDLUT method can be nearly 80 times faster than that of conventional LUTs in the spatial domain, while the image quality is comparable. (C) 2020 Optical Society of America
机译:高清加深计算机全息立体图(DA-CGHS)具有高质量、易实现、自动着色等优点。然而,它的计算成本非常高,因为必须计算大量场景和深度信息。本文提出了一种基于谱域查找表(SDLUT)的DA-CGH快速计算方案。在SDLUT中,计算对象空间中选定参考点的霍格尔平面上的衍射场。随后,场被傅里叶变换到频谱域。因为信号能量总是集中在一个小的光谱区域,这些区域被裁剪成元素表。在霍格尔谱的计算中,场叠加是在谱域内利用元素表进行的。在我们的演示中,SDLUT的表大小仅为查找表(LUT)的0.44%。由于表的大小非常小,SDLUT方法在空间域的计算时间比传统LUT方法快近80倍,而图像质量相当。(C) 2020美国光学学会

著录项

  • 来源
    《Applied optics》 |2021年第4期|共7页
  • 作者

    Liu Jung-Ping; Lu Sung-Lin;

  • 作者单位

    Feng Chia Univ Dept Photon 100 Wenhwa Rd Taichung 40724 Taiwan;

    Feng Chia Univ Dept Photon 100 Wenhwa Rd Taichung 40724 Taiwan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
  • 关键词

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